Post on 24-Aug-2014
Capacity DecisionKrajewski, Ritzman and Malhorta(2010)
61
Planning CapacityCapacity management
Capacity planning (long-term) Economies and diseconomies of scale
Constraint management (short-term) Theory of constraints Identification and management of bottlenecks Product mix decisions using bottlenecks Managing constraints in a line process
Capacity timing and sizing strategies Systematic approach to capacity decisions
62
Measures of Capacity Utilization Output measures of capacity
Input measures of capacity UtilizationAverage output rate Utilization = 100% Maximum capacity
63
Capacity and Scale Economies of scale Spreading Reducing Cutting Finding
fixed costs
construction costs
costs of purchased materials process advantages
Diseconomies of scale Complexity Loss
of focus
Inefficiencies
64
Capacity and Scale
Average unit cost (dollars per patient)
250-bed hospital
500-bed hospital
750-bed hospital
Economies of scale
Diseconomies of scale
Output rate (patients per week)Figure 6.1 Economies and Diseconomies of Scale65
Capacity Timing and Sizing Sizing capacity cushions Capacity cushions are the amount of reserve capacity a process uses to handle sudden changesCapacity cushion = 100% Average Utilization rate (%)
Expansionist strategies Wait-and-see strategies Combination of strategies
66
Capacity Timing and Sizing
Planned unused capacityCapacity
Forecast of capacity required
Capacity increment Time between increments
Time (a) Expansionist strategyFigure 6.2 Two Capacity Strategies67
Capacity Timing and Sizing
Planned use of short-term options Capacity
Forecast of capacity required
Capacity increment Time between increments
Time (b) Wait-and-see strategyFigure 6.2 Two Capacity Strategies68
Linking Capacity Capacity decisions should be linked to processes and supply chains throughout the organization Important issues are competitive priorities, quality, and process design
69
Systematic Approach1. Estimate future capacity requirements2. Identify gaps by comparing requirements with available capacity 3. Develop alternative plans for reducing the gaps 4. Evaluate each alternative, both qualitatively and quantitatively, and make a final choice6 10
Systematic Approach Step 1 is to determine the capacity required to meet future demand using an appropriate planning horizon Output measures based on rates of production Input measures may be used when Product The
variety and process divergence is high rates are expected to change
product or service mix is changing learning effects are expected6 11
Productivity Significant
Systematic Approach For one service or product processed at one operation with a one year time period, the capacity requirement, M, isProcessing hours required for years demand Capacity requirement = Hours available from a single capacity unit (such as an employee or machine) per year, after deducting desired cushion Dp M= N[1 (C/100)]where D = demand forecast for the year (number of customers serviced or units of product) p = processing time (in hours per customer served or unit produced) N = total number of hours per year during which the process operates C = desired capacity cushion (expressed as a percent)6 12
Systematic Approach Setup times may be required if multiple products are producedProcessing and setup hours required for years demand, summed over all services or products Hours available from a single capacity unit per year, after deducting desired cushion[Dp + (D/Q)s]product 1 + [Dp + (D/Q)s]product 1 + + [Dp + (D/Q)s]product n N[1 (C/100)]
Capacity requirement =
M=
where Q = number of units in each lot s = setup time (in hours) per lot6 13
Estimating Capacity RequirementsEXAMPLE 6.1 A copy center in an office building prepares bound reports for two clients. The center makes multiple copies (the lot size) of each report. The processing time to run, collate, and bind each copy depends on, among other factors, the number of pages. The center operates 250 days per year, with one 8-hour shift. Management believes that a capacity cushion of 15 percent (beyond the allowance built into time standards) is best. It currently has three copy machines. Based on the following table of information, determine how many machines are needed at the copy center.Item Annual demand forecast (copies) Standard processing time (hour/copy) Average lot size (copies per report) Standard setup time (hours) Client X 2,000 0.5 20 0.25 Client Y 6,000 0.7 30 0.406 14
Estimating Capacity RequirementsSOLUTION[Dp + (D/Q)s]product 1 + [Dp + (D/Q)s]product 1 + + [Dp + (D/Q)s]product n N[1 (C/100)] [2,000(0.5) + (2,000/20)(0.25)]client X + [6,000(0.7) + (6,000/30)(0.40)]client Y [(250 day/year)(1 shift/day)(8 hours/shift)][1.0 - (15/100)] 5,305 = 3.12 1,700
M=
=
=
Rounding up to the next integer gives a requirement of four machines.
6 15
Systematic Approach Step 2 is to identify gaps between projected capacity requirements (M) and current capacity Complicated
by multiple operations and resource inputs
Step 3 is to develop alternatives Base
case is to do nothing and suffer the consequences different alternatives are possible
Many
6 16
Systematic Approach Step 4 is to evaluate the alternatives Qualitative
concerns include strategic fit and uncertainties concerns may include cash flows and other quantitative measures
Quantitative
6 17
Evaluating the AlternativesEXAMPLE 6.2 Grandmothers Chicken Restaurant is experiencing a boom in business. The owner expects to serve 80,000 meals this year. Although the kitchen is operating at 100 percent capacity, the dining room can handle 105,000 diners per year. Forecasted demand for the next five years is 90,000 meals for next year, followed by a 10,000-meal increase in each of the succeeding years. One alternative is to expand both the kitchen and the dining room now, bringing their capacities up to 130,000 meals per year. The initial investment would be $200,000, made at the end of this year (year 0). The average meal is priced at $10, and the before-tax profit margin is 20 percent. The 20 percent figure was arrived at by determining that, for each $10 meal, $8 covers variable costs and the remaining $2 goes to pretax profit. What are the pretax cash flows from this project for the next five years compared to those of the base case of doing nothing?6 18
Evaluating the AlternativesSOLUTION Recall that the base case of doing nothing results in losing all potential sales beyond 80,000 meals. With the new capacity, the cash flow would equal the extra meals served by having a 130,000-meal capacity, multiplied by a profit of $2 per meal. In year 0, the only cash flow is $200,000 for the initial investment. In year 1, the 90,000-meal demand will be completely satisfied by the expanded capacity, so the incremental cash flow is (90,000 80,000)($2) = $20,000. For subsequent years, the figures are as follows:Year 2: Demand = 100,000; Cash flow = (100,000 80,000)$2 = $40,000 Year 3: Demand = 110,000; Cash flow = (110,000 80,000)$2 = $60,000 Year 4: Demand = 120,000; Cash flow = (120,000 80,000)$2 = $80,000 Year 5: Demand = 130,000; Cash flow = (130,000 80,000)$2 = $100,000
6 19
Evaluating the AlternativesIf the new capacity were smaller than the expected demand in any year, we would subtract the base case capacity from the new capacity (rather than the demand). The owner should account for the time value of money, applying such techniques as the net present value or internal rate of return methods (see Supplement F, Financial Analysis, in myomlab). For instance, the net present value (NPV) of this project at a discount rate of 10 percent is calculated here, and equals $13,051.76. NPV = 200,000 + [(20,000/1.1)] + [40,000/(1.1)2] + [60,000/(1.1)3] + [80,000/(1.1)4] + [100,000/(1.1)5] = $200,000 + $18,181.82 + $33,057.85 + $45,078.89 + $54,641.07 + $62,092.13 = $13,051.76
6 20
Solved Problem 2The base case for Grandmothers Chicken Restaurant (see Example 6.2) is to do nothing. The capacity of the kitchen in the base case is 80,000 meals per year. A capacity alternative for Grandmothers Chicken Restaurant is a two-stage expansion. This alternative expands the kitchen at the end of year 0, raising its capacity from 80,000 meals per year to that of the dining area (105,000 meals per year). If sales in year 1 and 2 live up to expectations, the capacities of both the kitchen and the dining room will be expanded at the end of year 3 to 130,000 meals per year. This upgraded capacity level should suffice up through year 5. The initial investment would be $80,000 at the end of year 0 and an additional investment of $170,000 at the end of year 3. The pretax profit is $2 per meal. What are the pretax cash flows for this alternative through year 5, compared with the base case?
6 21
Solved Problem 2SOLUTION Table 6.1 shows the cash inflows and outflows. The year 3 cash flow is unusual in two respects. First, the cash inflow from sales is $50,000 rather than $60,000. The increase in sales over the base is 25,000 meals (105,000 10,000) instead of 30,000 meals (110,000 80,000) because the restaurants capacity falls somewhat short of demand. Second, a cash outflow of $170,000 occurs at the end of year 3, when the second-stage expansion occurs. The net cash flow for year 3 is $50,000 $170,000 = $120,000.
6 22
Solved Problem 2TABLE 6.1 | CASH FLOWS FOR TWO-STAGE EXPANSION AT GRANDMOTHERS CHICKEN RESTAURANT Projected Demand (meals/yr) 80,000 90,000 100,000 110,000 Projected Capacity (meals/yr) 80,000 105,000 105,000 105,000 Calculation of Incremental Cash Flow Compared to Base Case (80,000 meals/yr) Increase kitchen capacity to 105,000 meals = 90,000 80,000 = (10,000 meals)($2/meal) = 100,000 80,000 = (20,000 meals)($2/meal) = 105,000 80,000 = (25,000 meals)($2/meal) = Increase total capacity to 130,000 meals = Cash Inflow (outflow) ($80,000) $20,000 $40,000 $50,000 ($170,000) ($120,000)
Year 0 1 2 3
45
120,000130,000
130,000130,000
120,000 80,000 = (40,000 meals)($2/meal) =130,000 80,000 = (50,000 meals)($2/meal) =
$80,000 $100,000
6 23
Solved Problem 2For comparison purposes, the NPV of this project at a discount rate of 10 percent is calculated as follows, and equals negative $2,184.90.NPV = 80,000 + (20,000/1.1) + [40,000/(1.1)2] [120,000/(1.1)3] + [80,000/(1.1)4] + [100,000/(1.1)5] = $80,000 + $18,181.82 + $33,057.85 $90,157.77 + $54,641.07 + $62,092.13 = $2,184.90 On a purely monetary basis, a single-stage expansion seems to be a better alternative than this two-stage expansion. However, other qualitative factors as mentioned earlier must be considered as well.6 24
Tools for Capacity Planning Waiting-line models Useful
in high customer-contact processes
Supplement
C, Waiting Lines is a fuller treatment of the models
Simulation Can
be used when models are too complex for waiting-line analysis
Decision trees Useful
when demand is uncertain and sequential decisions are involved6 25
Waiting Line Models
Figure 6.3 POMS for Windows Output for Waiting Lines during Office Hours6 26
Decision Trees
Low demand [0.40]
$70,000 Dont expand $90,000
$109,000 1 $148,000
High demand [0.60]
2 Expand $135,000
$135,000 Low demand [0.40] $40,000
$148,000
High demand [0.60]
$220,000
Figure 6.4 A Decision Tree for Capacity Expansion
6 27
Solved Problem 1You have been asked to put together a capacity plan for a critical operation at the Surefoot Sandal Company. Your capacity measure is number of machines. Three products (mens, womens, and childrens sandals) are manufactured. The time standards (processing and setup), lot sizes, and demand forecasts are given in the following table. The firm operates two 8-hour shifts, 5 days per week, 50 weeks per year. Experience shows that a capacity cushion of 5 percent is sufficient.Time Standards Product Mens sandals Womens sandals Childrens sandals Processing (hr/pair) 0.05 0.10 0.02 Setup (hr/pair) 0.5 2.2 3.8 Lot size (pairs/lot) 240 180 360 Demand Forecast (pairs/yr) 80,000 60,000 120,000
a. How many machines are needed? b. If the operation currently has two machines, what is the capacity gap?6 28
Solved Problem 1SOLUTION
a. The number of hours of operation per year, N, is N = (2 shifts/day)(8 hours/shifts) (250 days/machine-year) = 4,000 hours/machine-yearThe number of machines required, M, is the sum of machinehour requirements for all three products divided by the number of productive hours available for one machine: [Dp + (D/Q)s]men + [Dp + (D/Q)s]women + [Dp + (D/Q)s]children M= N[1 - (C/100)][80,000(0.05) + (80,000/240)0.5] + [60,000(0.10) + (60,000/180)2.2] + [120,000(0.02) + (120,000/360)3.8] = 4,000[1 - (5/100)] 14,567 hours/year = = 3.83 or 4 machines 3,800 hours/machine-year6 29
Solved Problem 1b. The capacity gap is 1.83 machines (3.83 2). Two more machines should be purchased, unless management decides to use short-term options to fill the gap. The Capacity Requirements Solver in OM Explorer confirms these calculations, as Figure 6.5 shows, using only the Expected scenario for the demand forecasts.
6 30
Solved Problem 1
6 31